Your AI/cloud bill jumped after launch.
You need to know which workflow, model, service, or automation path moved.
AI unit economics — for founders and CTOs of AI-heavy B2B SaaS
Your AI feature shipped. Your cloud bill moved. Your margin model did not.
Olive One maps your AI COGS — cloud, LLM, API, vector, observability, and automation spend — to cost per feature and cost per customer, then turns it into a CTO/CFO decision memo your board can read.
Built by a FinOps Certified Practitioner, following the FinOps Foundation methodology for cloud cost management — hands-on AWS, AI workflow, and margin diagnosis experience.
Cost surfaces reviewed
Olive One can trace spend across the providers your app already uses.
Cloud, LLM, hosting, database, observability, edge, and automation vendors are reviewed as cost surfaces, not as client logos or partnerships.
AWS
Azure
Google Cloud
Oracle
Cloudflare
OpenAI
Anthropic
Supabase
Firebase
Vercel
DatadogEntry offer
Start with a focused review, not a long transformation project.
Before you scale usage, reprice, or rebuild, check the cost, ownership, and operating assumptions behind the app. Olive One reviews cloud, LLM/API, database, vector, automation, observability, and workflow ownership risk so the economics are easier to explain and operate.
This is for you if
Your app works. Your margin doesn't.
Olive One is for operators who need a practical answer before the next cloud bill becomes a strategy meeting.
Finance is asking what changed.
The answer needs to connect spend movement to product and customer activity.
Engineering sees spend, not business impact.
Teams need a shared language for cost, owner, margin, and action.
Cost per workflow is unknown.
You cannot yet calculate cost per customer, ticket, outcome, or AI action.
You need a decision.
Optimize, reprice, cap, rebuild, or shut down the risky workflow.
What Olive One gives you
A short path from messy spend to an executive decision.
The output is not another metrics screen. It is a focused report that lets engineering and finance decide what to do next.
01
Workflow cost map
Spend traced to features, services, workflows, owners, and usage windows.
02
Cost leak findings
Specific risks such as retry storms, context growth, logging spikes, or uncapped jobs.
03
Owner matrix
Who owns the workflow, budget, alert, decision, and remediation path.
04
CTO/CFO memo
A clear decision note for engineering, finance, founders, and technical operators.
05
30-day action plan
Ranked fixes by risk, effort, expected impact, and confidence level.
Tools and resources
Use the tools when you need depth.
Pattern Library, Insights, Sample Report, and Methodology stay available for buyers who want to inspect the method before booking.
Free tools
Cost Tools
Run the free cost tools: spend risk brief, billing traps, LLM costs, and 10x scenarios.
ExploreLibrary
Pattern Library
Named cost-failure patterns for AI and cloud workflows.
ExploreResearch
Insights
Short field notes on AI app cost diagnosis and workflow economics.
ReadExample
Sample Report
A synthetic report showing structure, findings, and action plan.
View sampleMethod
Methodology
The diagnostic method inside Olive One reviews.
ExploreHow data access works
No production write access required.
Olive One can work from exports, scoped read-only access, or incomplete data with confidence levels clearly marked.
Option 01
No access
Work from billing exports, LLM usage exports, screenshots, service lists, and workflow notes.
Option 02
Read-only
Use scoped read-only access when the team wants stronger attribution and faster validation.
Option 03
Messy data
Gaps are documented directly in the report with confidence ratings and next evidence needed.
Pricing and scope
Choose the depth your workflow needs.
Start with a fast AI Margin Map for one workflow, or audit your full production cost surface.
First step
AI Margin Map
$1,500 fixed — delivered in 48–72 hoursBest for founders and technical operators who need cost per feature, cost per customer, and the top margin leaks for one app, MVP, or feature — in 48–72 hours.
Larger scope
AI Spend-to-Margin Audit
Starts at $8,500 — 10 business daysFor teams with multiple workflows, cloud and AI tools, and a board-level question about AI gross margin — includes remediation plan and owner map.
Find the workflows quietly destroying margin before your next cloud bill becomes the strategy meeting.
Send the rough stack, recent spend movement, workflow description, and what decision you need to make. No credentials or secrets are needed for the first call.